docs: add preliminary results + reproducible 4k panel config/scripts

train: schedule-2 curriculum w/ ramp + braid mix (single-run)

train: schedule-2 curriculum with ramp (single-run, no restarts)

train: add schedule-2 curriculum (phase switch for long/noise mixing)

train: add curriculum mix (perturb + long) to drive ood_long learning

ui: add KEYLINE (non-wrapping) summary for logs/clipboard

trainer: pass output_gate/output_tau to structured model

fix: restore lb_loss aux + robust logging; update GradScaler API

arch-v2: asymmetry (local vs global), competitive callosum, optic-chiasm bias; default stem=0

moe: add router warmup (round-robin expert) to reduce seed variance

moe: add load-balance loss + training hook (reduce seed variance)

ui: fix one-line summary (Δ deltas) and repair syntax

tools: add seed sweep runner

ui: add Δ deltas to one-line summary

task: add twohop_bind + multitask trainer + config

ui: pretty-print eval metrics (rich table + summary)

head: make models query-aware (last-token readout) + trainer update

task: add braid + ood_long eval splits; batch eval

train: add AMP+GradScaler and grad clipping (fix NaNs)

poc: add bind_query task + english render + side-by-side trainer

probe: unify CLS objective + add compute-matching helper

probe: add minimal dense + structured models and VRAM probe script